SOPHiA GENETICS combines deep expertise in life sciences with mathematical capabilities in data computing to create the future of AI-assisted Medicine.
We are looking for Senior Software Engineer (Multi-modal Data) to join our team! As a Senior Software Engineer, you will be part of a team of Engineers focused on developing and maintaining our internal data platform and their microservices powering a multi-modal digital healthcare platform. Our platform is a one-of-a-kind globally distributed information system that brings together hospitals and labs to provide data ingestion and processing, analysis and modeling, reporting and intelligence, distribution and sharing of a multitude of complex sources of structured and unstructured data, including genomics, imaging, and clinical data, delivered as a multi-tenant SaaS platform on the cloud.
SOPHiA GENETICS (NASDAQ: SOPH) combines Data-Driven Medicine, Genomics and Radiomics, to ensure that the data used to help patients today will also benefit the patients of tomorrow. SOPHiA DDM Platform in supporting multimodal data-driven medicine.
WHAT CAN WE OFFER YOU
You will be responsible for the design of individual components of the services and will collaborate daily with senior technical staff in- and outside of the team. You will have the opportunity to recommend and drive new initiatives and support our fast-growing organization.
- An exciting company mission that brings together science and technology to directly impact the lives of patients with life threatening illness
- A fast-growing company with plenty of opportunity for personal growth and development
- A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, Machine Learning
Therefore, if you’re a dynamic, self-motivated professional who believes nothing is impossible, love to learn and be curious, we’d love to have you as part of our team!
Requirements
Responsibilities
- As a member of the Datahub team you will have a key role in prototyping and development of our next-gen data platform, aided by your team lead and your team members. This will include design, implementation, testing, documentation, deployment, maintenance and support of the services and other projects owned by your team.
- You will be responsible for designing and building of individual components and services, as well as contributing to the overall platform architecture. You will collaborate daily with senior technical staff in- and outside of the team.
- You will be expected to participate in Level 3 Support activities.
- You will actively participate in code and design reviews with other members of the team.
- As needed for your projects, you will participate in estimations and risk assessments, and exchange with stakeholders in Product and Project Management and other departments.
Requirements
- You have demonstrated experience in developing reliable and performant data-focused services and have a firm grasp on the underlying challenges of releasing a distributed data and software solution to production.
- You have a basic understanding of the domain of genomics and digital healthcare and care for the impact you can have in this field.
- You know modern software engineering processes, have good knowledge of tools, technologies, and best practices.
- You seek to exchange regularly and communicate effectively with other members of your team.
Core skills:
- Master’s degree in Computer Science or Engineering or equivalent professional experience,
- At least 4-6 years of experience working with distributed data, microservice-oriented architectures, and APIs,
- Expertise with Java (or Scala) in a data processing environment.
- Solid knowledge of software engineering best-practices, Agile, CI/CD, Unit amp; integration testing
- Experience with distributed big data architectures (schemas, transfers, storage, partitioning, performance monitoring and optimization)
- Good knowledge of modern scalable database and data lake technologies, especially Spark amp; SQL.
- Experience with containerization and orchestration technologies, as well as basic DevOps processes and tooling
- Good interpersonal and communication skills with a growth mindset.
- Excellent level of English, French is a plus.
It’s a plus:
- Experience with Functional and Reactive Programming,
- JVM and Spark performance tuning
- Knowledge of digital healthcare and genomics
- Experience in working under design controls in a regulated environment is a plus,
- Tooling: Azure ecosystem, Databricks, GraphQL, Kafka, Docker, Kubernetes, Helm, Micronaut, T